While the concept of digital platform (-ecosystems) for the provision of corresponding services has been met with great interest both in the broad re-search community and in practical application, process-based considerations for the selection of digital platform services, which are furthermore supported by artificial intelligence (AI), remain unexplored. However, it is precisely the customer processes in the context of the user experience that play a decisive role in the success of targeted platform solutions. Therefore, this paper describes the development of a method that is specifically focused on the process-based derivation of relevant services for digital, AI-based platforms. To develop our method, we draw on a focus group study that operates in the environment of a current research project for the development of an AI-based networking platform and thus enables a first evaluation of the developed method. With our current results, we are thus not only contributing to the knowledge base around digital platforms and ecosystems in connection with artificial intelligence but are also providing a useful action guide for developing these in practice.

The paper focuses on the use of augmented reality (AR) by industrial engineers, especially for determining the necessary competencies required for its use. Industrial engineers are not inherently programmers. Nevertheless, augmented reality is a modern trend in their field, especially in relation to the concept of Industry 4.0 and industry in general, where it has a higher potential than virtual reality. In the first part of this paper, we placed augmented reality and the competencies required for its use in the context of industrial engineering. Subsequently, we described our own methods of implementing an augmented reality industrial metadata visualization system, namely Help Lightning Fieldbit and Unity 3D, using the Vuforia extension. We chose the metadata used in the methods with regard to their environmental potential. In this part of the paper, we also described the chosen and applied testing methodology using a questionnaire survey. Subsequently, we described the results from the questionnaire surveys of both these approaches of implementing augmented reality methods. Finally, we evaluated the results and compared them with each other and with results from other authors. As the results show, the most important competencies for creating the described AR environments are analytical competencies. We draw conclusions from the collected data regarding the necessary competencies for the creation of AR scenes using these methods and their deployment in industry, including an outline for further research.